Image Feature Extraction
timm
Safetensors
computational-pathology
knowledge-distillation
vision-transformer
medical-imaging
Instructions to use RamonK/DistillPath-IS16-UNI2h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use RamonK/DistillPath-IS16-UNI2h with timm:
import timm model = timm.create_model("hf_hub:RamonK/DistillPath-IS16-UNI2h", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 265 Bytes
7cdaddd | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"architecture": "vit_small_patch16_224",
"num_classes": 0,
"num_features": 384,
"pretrained_cfg": {
"num_classes": 0,
"input_size": [3, 224, 224],
"mean": [0.485, 0.456, 0.406],
"std": [0.229, 0.224, 0.225],
"custom_load": false
}
}
|